conducts research to assess customer needs and preferences, and documents product requirements
at Quantexa we believe that people and organizations make better decisions when those decisions are put in context – we call this Contextual Decision Intelligence
contextual Decision Intelligence is the new approach to data analysis that shows the relationships between people, places and organizations - all in one place - so you gain the context you need to make more accurate decisions, faster
founded in 2016 Quantexa helps organizations make their data more meaningful, and is the world’s leading software company providing a single networked view of internal and external data as an input to analytical and AI models
from compliance, fraud, anti-money laundering and credit risk to customer intelligence and master data management, Quantexa partners with Global Tier 1 Insurers and Banks, Government Agencies, Telecoms and Technology companies to deliver Contextual Decision Intelligence
due to the continuous success and high demand from our customers, we are looking for an Analytics Product Manager to assist us in our journey creating the next generation of products that transform how organizations around the world use data
headquartered in London with significant offices in New York, Boston, Toronto, Sydney, Singapore, and Brussels, Quantexa is continuing its expansion within the UK, building on our core values of Determination, Ambition, Teamwork and Accountability
collaborates with stakeholders to understand user pain points and gather valuable feedback to refine product features for the analytical models used in the out-of-the-box solution
Requirements
strong experience in big data solutions, including either analytics software solutions or Financial crime/Fraud analytical solutions
proven ability to understand complex risk typologies within Financial Services, and to design suitable metrics to detect them
experience with and understanding of financial technology and the technology/product lifecycle, e.g. the agile development approach
strong analytical mindset with critical thinking and creative problem-solving skills, and the ability to devise solutions to address customer challenges
ability to convey information and communicate with various stakeholders, tailoring the message to the audience's needs
relevant experience understanding customer needs, prioritizing backlogs and writing user stories, with the ability to focus on the details of requirements while maintaining the “big picture” view
engineer
Requirements
java/Python) Big data experience, either from a software deployment/implementation or a data science perspective Knowledge of at least one big data technology such as Spark, Hadoop or Elasticsearch Experience working in an Agile environment Experience of building data processing pipelines for use in production batch systems, including either traditional ETL pipelines and/or analytics pipelines Experience in manipulating data through cleansing, parsing, standardising etc, especially in relation to improving data quality/integrity Our team members come from a variety of backgrounds and we are currently looking to recruit at most levels to support our extensive product roadmap
we are looking for individuals who want to develop their data engineering skillset whilst working across a wide range of the Quantexa tech stack
engaging with our internal stakeholders is also a key part of the role – we work closely with delivery, solution/product owners, sales etc to design and develop our solutions
we have a great team culture, with regular socials and a strong presence in Quantexa’s London office, whilst maintaining a flexible working policy allowing for regular home working
we are a fast growing department within Quantexa, having tripled in size over the last 2 years, whilst Quantexa itself is one of the UK’s fastest growing scale-ups
contracts manager
Requirements
experience of drafting and negotiating complex supplier contracts within Tier 1 Financial Services, Insurance, Telecoms and Public Sector organisations
determination to succeed in challenging circumstances
accountability for owning the tasks you undertake
ability to be an independent decision maker but, equally, inclusive when evaluating options
driven, ambitious and energetic with strong inter-personal skills
strong commercial qualities
good team player, capable of delivering results in less than perfect circumstances
ability to perform effectively in complex and difficult environments
Responsibility
triaging all new engagements to determine commercial and legal support or model terms required
highlighting onerous terms for legal review under commercial policy
in contract life cycle management for complex projects including change management and identified risk mitigation
assisting with deal structuring around contract models
reviewing and negotiating commercial agreements
reviewing commercial elements of bids and contracts
supporting RFP management and helping with response co-ordination
our clients are International, and our staff are expected to react to demanding client needs and agendas, this role will support the Quantexa sales and delivery teams within EMEA but with scope to expand the role to global support
devops engineer
Working hours
full-time
Responsibility
at Quantexa we believe that people and organizations make better decisions when those decisions are put in context – we call this Contextual Decision Intelligence
contextual Decision Intelligence is the new approach to data analysis that shows the relationships between people, places and organizations - all in one place - so you gain the context you need to make more accurate decisions, faster
founded in 2016 Quantexa helps organizations make their data more meaningful, and is the world’s leading software company providing a single networked view of internal and external data as an input to analytical and AI models
from compliance, fraud, anti-money laundering and credit risk to customer intelligence and master data management, Quantexa partners with Global Tier 1 Insurers and Banks, Government Agencies, Telecoms and Technology companies to deliver Contextual Decision Intelligence
Requirements
experience managing microservice based architectures
experience mentoring junior engineers
take pride in designing, building and delivering high quality well engineered solutions to complex problems
experience with software build and release engineering
take a big picture approach to solving problems, taking care to ensure that the solution works well within the wider system
in-depth exposure to a handful of the key parts of our tech stack listed above
experience with programming/scripting/automation
good appreciation for information security principals
senior designer
Responsibility
opportunity
at Quantexa we believe that people and organizations make better decisions when those decisions are put in context – we call this Contextual Decision Intelligence
contextual Decision Intelligence is the new approach to data analysis that shows the relationships between people, places and organizations - all in one place - so you gain the context you need to make more accurate decisions, faster
founded in 2016, Quantexa helps organizations make their data more meaningful, and is the world’s leading software company providing a single networked view of internal and external data as an input to analytical and AI models
outstanding design sense, creative talent, can-do attitude, lightning speed, and exemplary work ethic are absolute musts
from compliance, fraud, anti-money laundering and credit risk to customer intelligence and master data management, Quantexa partners with Global Tier 1 Insurers and Banks, Government Agencies and Technology companies to deliver Contextual Decision Intelligence
takes direction from Brand Design Director and feedback from the internal client to provide multiple solutions on time
headquartered in London with significant offices in New York, Boston, Toronto, Sydney, Singapore, and Brussels, Quantexa is continuing its expansion, building on our core values of Determination, Ambition, Teamwork and Accountability
engineering manager
Working hours
full-time
Requirements
experience with Infra-as-Code, containerisation and Kubernetes, CI/CD
experience delivering software which is deployed on premise and as a service
have experience functional programming using Scala or Java AND/OR experience using modern front-end frameworks, ideally Angular 2+
Responsibility
work closely with our Product Management function to help them refine market needs and align with Engineering capability to create a deliverable roadmap
coordinate release activities across Engineering teams, and keep stakeholders informed of progress to allow measured delivery to roadmap
business development
Requirements
A consistent history of meeting and exceeding objectives around meeting setting and opportunity creation
A high degree of self-motivation, commitment, and professionalism with excellent interpersonal skills
strong organizational, planning and execution skills
tenacity to maintain high volumes of calls and emails
exceptional active listening and presentation skills
excellent experience of inside sales experience
A Bachelors Degree
working knowledge of CRM systems
Responsibility
work closely with the marketing team on messaging and feedback insights from your conversations
financial controller
Requirements
hold an undergraduate degree
qualified accountant – CIMA, ACCA or ACA
strong experience in relevant accounting role
knowledge of IFRS and FRS 102 accounting principles
consolidation and multi-currency accounting experience
ability to work under pressure and multi-task
desirable Competencies
industry experience within tech/SAAS sector, ideal but not mandatory
Responsibility
working with the team to ensure outstanding collections are made, and oversight of the credit control process
overall responsibility for the day-to-day EMEA finance operation
tax Experience including R&D tax claims
submitting quarterly VAT returns , and other additional compliance filings that arise
reviewing monthly balance sheet reconciliations to ensure accounts are accurately recorded in compliance with Accounting Standards
gain an understanding of business transactions and accounting flow, whilst identifying and implementing continuous improvement initiatives related to finance processes, including reporting, data gathering, analysis and enhancement of existing processes for efficiency and effectiveness
full stack developer
Responsibility
work with the Web Marketing Manager to prioritize workstreams, understand use cases and needs
provide recommendations on best practices and ongoing implementation efforts
drive the development and implementation of the web roadmap
ensure code quality by developing an ongoing testing / QA strategy that involves automation
own the maintenance of features to ensure that bugs are fixed promptly
partners with digital designer to ensure execution alignment and concrete tasks needed prior to coding
implement new features, deploy landing pages, and code digital communications such as emails, newsletters, etc
deploying code to production on a regular basis
technical lead
Responsibility
manage, transform, and cleanse high volume data
write defensive, fault tolerant and efficient code for data processing
automate data processing to enable on-going alerts on high-risk activity
present project results to clients both face to face and virtually
work very closely with data scientists to ensure efficient and effective delivery of solutions
work with our expert software development team to produce reusable applications
use emerging and open-source technologies such as Spark, Hadoop, and Scala
collaborate on scalability issues involving access to massive amounts of data and information
Requirements
proven big data experience, either from an implementation or a data science prospective
excellent technical skills including expert knowledge of at least one big data technology such as Spark, Hadoop, or Elasticsearch
strong coding experience in the likes of Scala, Java, or Python
strong client facing, communication and presentation skills
enthusiasm to learn and develop emerging technologies and techniques
exhibit strong technical communication skills with demonstrable experience of working in rapidly changing client environments
what do I need to have?
experience of building data processing pipelines for use in production “hands off” batch systems, including either traditional ETL pipelines and/or analytics pipelines